| Autor: |
Galán, Ferran, Oliva, Francesc, Guàrdia, Joan, Galán, Ferran, Guàrdia, Joan |
| Předmět: |
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| Zdroj: |
Medical & Biological Engineering & Computing; Jun2007, Vol. 45 Issue 6, p603-609, 7p, 1 Chart, 3 Graphs |
| Abstrakt: |
This paper presents an algorithm based on canonical variates transformation (CVT) and distance based discriminant analysis (DBDA) combined with a mental tasks transitions detector (MTTD) to classify spontaneous mental activities in order to operate a brain-computer interface working under an asynchronous protocol. The algorithm won the BCI Competition III--Data Set V: Multiclass Problem, Continuous EEG--achieving an averaged classification accuracy over three subjects of 68.65% (79.60, 70.31 and 56.02%, respectively) in a three-class problem. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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